delete debug line

train.py

@@ -7,7 +7,6 @@ $ python -m train.py --compile=False --eval_iters=10 --batch_size=8
 
 To run with DDP on 4 gpus on 1 node, example:
 $ torchrun --standalone --nproc_per_node=4 train.py
-PYTHONPATH=/home/ubuntu/miniconda3/envs/pytorch2/lib/python3.10/site-packages torchrun --standalone --nproc_per_node=4 train.py --compile=False --wandb_log=True
 
 To run with DDP on 4 gpus across 2 nodes, example:
 - Run on the first (master) node with example IP 123.456.123.456:
@@ -56,7 +55,7 @@ dropout = 0.0
 # adamw optimizer
 gradient_accumulation_steps = 4  # used to simulate larger batch sizes
 learning_rate = 5e-4  # max learning rate
-max_iters = 100000  # total number of training iterations
+max_iters = 300000  # total number of training iterations
 weight_decay = 1e-1
 beta1 = 0.9
 beta2 = 0.95